CBTS
Sr Data Engineer(only W2, Onsite, Need to Be Local)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer with a 6-month contract, offering a pay rate of "X" per hour. It requires local onsite presence, a Bachelor's degree in a relevant field, 6 years of data engineering experience, and proficiency in Python, SQL, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Python #Spark (Apache Spark) #Agile #SQL (Structured Query Language) #Statistics #Mathematics #Data Processing #Microsoft Power BI #Visualization #MIS Systems (Management Information Systems) #Data Lake #Tableau #Airflow #Azure #Data Orchestration #Database Architecture #"ETL (Extract #Transform #Load)" #Batch #Dataiku #Cloud #Data Modeling #Computer Science #BI (Business Intelligence) #AWS (Amazon Web Services) #Data Engineering #Databricks
Role description
Job Description:
• Bachelor s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
• Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
• Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,).
• Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
• Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
• Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
ADDITIONAL SKILLS AND OTHER REQUIREMENTS
Nice to have skill set include:
• Agile experience
• Dataiku
• Power BI
Job Description:
• Bachelor s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
• Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
• Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,).
• Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
• Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
• Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
ADDITIONAL SKILLS AND OTHER REQUIREMENTS
Nice to have skill set include:
• Agile experience
• Dataiku
• Power BI
